{"id":"W3125473960","doi":"10.2139/ssrn.267497","title":"Checking Accounts and Bank Monitoring","year":2001,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":113,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002086921,0.0001256654,0.0002094339,0.0001859066,0.0002835119,0.0001360591,0.0001978655,0.00007679819,0.00006267612],"category_scores_gemma":[0.0001169495,0.0001436296,0.00006553581,0.0002475868,0.00004447873,0.0003702802,0.00003736862,0.0007459659,0.00005034882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007801342,"about_ca_system_score_gemma":0.0001599051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008622314,"about_ca_topic_score_gemma":0.00006944392,"domain_scores_codex":[0.9978908,0.00001423336,0.0004296362,0.0002714745,0.00005942494,0.001334425],"domain_scores_gemma":[0.9994364,0.00003147343,0.0002602981,0.0001787604,0.00003912202,0.00005390168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007569641,0.00003291609,0.6674212,0.000003746413,0.00003118595,0.000001059349,0.000197901,0.00006372549,0.00001975898,0.3175575,0.000004175993,0.01465923],"study_design_scores_gemma":[0.0004918511,0.00007740305,0.3386254,0.00001626016,0.000006493784,0.0003028799,0.0002690012,0.0006442945,0.0000279167,0.6551691,0.004139756,0.0002296517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692749,0.01895245,0.007777105,0.0003630256,0.0004131114,0.00007338217,0.000001979087,0.00002933224,0.003114662],"genre_scores_gemma":[0.9926102,0.006209948,0.0001432601,0.00001710596,0.0004211847,0.000002545043,6.697357e-7,0.00002175019,0.0005733799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3376116,"threshold_uncertainty_score":0.5857045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774068699418279,"score_gpt":0.2341508340594912,"score_spread":0.2164101470653084,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}